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Senior Data & AI Consultant - Energy/Oil & Gas
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead and deliver Data & AI consulting engagements for energy and utilities clients
Translate client business challenges into Data & AI use cases, roadmaps and solution designs
Facilitate workshops, discovery sessions and stakeholder interviews
Manage engagement scope, timelines and quality with delivery teams
Advise clients on architecture, data governance and regulatory considerations
From the employer’s posting
Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients
Translate client business challenges into Data & AI use cases, roadmaps and solution designs
Facilitate workshops, discovery sessions and stakeholder interviews
Manage engagement scope, timelines and quality together with delivery teams
Advise clients on architecture, data governance and regulatory considerations
Tools in this posting
- AWS
- Azure
- Databricks
- GCP
- Snowflake
Source — Tool mentions in context
We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Germany or Austria in a hybrid working mode. EPAM's Data & AI practice helps organizations realize business value through consulting and delivery of end-to-end data and AI/ML solutions. Our expertise spans data platform modernization, advanced analytics, machine learning, LLMOps, agentic frameworks and Responsible AI practices. In this role, you will help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies. Responsibilities Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients Translate client business challenges into Data & AI use cases, roadmaps and solution designs Facilitate workshops, discovery sessions and stakeholder interviews Manage engagement scope, timelines and quality together with delivery teams Advise clients on architecture, data governance and regulatory considerations Contribute to proposals, RFP responses and the development of new industry offerings Build trusted relationships with client stakeholders and identify opportunities for follow-on work Coach and support junior consultants and engineers on engagements Contribute to thought leadership and represent EPAM at industry events Requirements 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions) Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake or modern AI orchestration tools Track record of leading client workstreams or small engagements end to end Strong stakeholder management and communication skills across business and technical audiences Business fluency in German and English Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks or ESG compliance
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Germany or Austria in a hybrid working mode. EPAM's Data & AI practice helps organizations realize business value through consulting and delivery of end-to-end data and AI/ML solutions. Our expertise spans data platform modernization, advanced analytics, machine learning, LLMOps, agentic frameworks and Responsible AI practices. In this role, you will help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies. Responsibilities Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients Translate client business challenges into Data & AI use cases, roadmaps and solution designs Facilitate workshops, discovery sessions and stakeholder interviews Manage engagement scope, timelines and quality together with delivery teams Advise clients on architecture, data governance and regulatory considerations Contribute to proposals, RFP responses and the development of new industry offerings Build trusted relationships with client stakeholders and identify opportunities for follow-on work Coach and support junior consultants and engineers on engagements Contribute to thought leadership and represent EPAM at industry events Requirements 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions) Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP) Working knowledge of Databricks, Snowflake or modern AI orchestration tools Track record of leading client workstreams or small engagements end to end Strong stakeholder management and communication skills across business and technical audiences Business fluency in German and English Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies Oil & Gas domain experience (Upstream, Midstream or Downstream) Certification in AWS, Azure, GCP, Databricks or Snowflake Familiarity with energy-sector regulatory frameworks or ESG compliance
Source details
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- Location & working pattern
Germany
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